omxParallelCI {OpenMx}R Documentation

omxParallelCI

Description

Create parallel models for parallel confidence intervals

Usage

omxParallelCI(model, run = TRUE)

Arguments

model

an MxModel with confidence intervals in it

run

whether to run the model or just return the parallelized interval models

Value

an MxModel object

Examples

# raw data version of frontpage model
require(OpenMx)
data(demoOneFactor)
manifests <- names(demoOneFactor)
latents <- c("G")
factorModel <- mxModel("One Factor",
     type="RAM",
     manifestVars = manifests,
     latentVars = latents,
     mxPath(from=latents, to=manifests),
     mxPath(from=manifests, arrows=2),
     mxPath(from=latents, arrows=2,
           free=FALSE, values=1.0),
     mxPath(from = 'one', to = manifests),
     mxData(demoOneFactor, type="raw"),
     mxCI(c('A', 'S'))) # add confidence intervals for free params in A and S matrices
factorRun <- mxRun(factorModel)
factorCI <- omxParallelCI(factorRun)

[Package OpenMx version 2.1.0 Index]